

{"id":143481,"date":"2024-09-25T12:09:56","date_gmt":"2024-09-25T06:39:56","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143481"},"modified":"2025-06-24T15:09:35","modified_gmt":"2025-06-24T09:39:35","slug":"salary-prediction-model-using-machine-learning","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/salary-prediction-model-using-machine-learning\/","title":{"rendered":"Salary Prediction Model using Machine Learning"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/data-flair.s3.ap-south-1.amazonaws.com\/ai-ml-course-dataset-vivek-uprit\/multiple-variable-linear-regression-model-for-salary-predication.zip\" target=\"_blank\" rel=\"noopener\"><strong>Machine Learning Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nimport  numpy as np\r\nimport  matplotlib.pyplot as plt\r\nfrom sklearn import linear_model\r\ndf=pd.read_excel(\"D:\/\/scikit_data\/newemp\/employee.xlsx\")\r\n\r\ndf=df.rename(columns={'test_score(out of 10)':'TestScore'})\r\ndf=df.rename(columns={'interview_score(out of 10)':'InteviewScore'})\r\ndf=df.rename(columns={'salary($)':'Salary'})\r\nmy_dict={'zero':0,'one':1,'two':2,'three':3,'four':4,'five':5,'six':6,'seven':7,'eight':8,'nine':9,'ten':10}\r\ndf['experience']=df['experience'].map(my_dict)\r\ndf.experience=df.experience.fillna(2)\r\ndf.TestScore=df.TestScore.fillna(df.TestScore.median())\r\n# print(df)\r\nmodel=linear_model.LinearRegression()\r\nmodel.fit(df.drop('Salary',axis='columns'),df.Salary)\r\n# print(model)\r\nexp=float(input(\"Enter Experience of Employee\"))\r\ntest=float(input(\"Enter Test Score of Employee\"))\r\ninter=float(input(\"Enter Interview Score of Employee\"))\r\nprint(\"Prediciated Salary: \",model.predict([[exp,test,inter]]))\r\n# print(model.coef_)\r\n# print(model.intercept_)\r\n# salary=39292.171189979104 +exp*2135.12526096+test*-312.7348643+inter*2204.85386221\r\n# print(\"Fourmla Salary: \",salary)<\/pre>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:112,&quot;href&quot;:&quot;https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/multiple-variable-linear-regression-model-for-salary-predication.zip&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205214918\\\/https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/multiple-variable-linear-regression-model-for-salary-predication.zip&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-17 20:03:53&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-27 21:50:53&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-25 17:46:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-15 02:15:31&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-19 09:27:51&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-23 04:06:57&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-07 11:40:02&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-19 07:10:07&quot;,&quot;http_code&quot;:403}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-19 07:10:07&quot;,&quot;http_code&quot;:403},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Machine Learning Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn import linear_model df=pd.read_excel(&#8220;D:\/\/scikit_data\/newemp\/employee.xlsx&#8221;) df=df.rename(columns={&#8216;test_score(out of 10)&#8217;:&#8217;TestScore&#8217;}) df=df.rename(columns={&#8216;interview_score(out of 10)&#8217;:&#8217;InteviewScore&#8217;}) df=df.rename(columns={&#8216;salary($)&#8217;:&#8217;Salary&#8217;}) my_dict={&#8216;zero&#8217;:0,&#8217;one&#8217;:1,&#8217;two&#8217;:2,&#8217;three&#8217;:3,&#8217;four&#8217;:4,&#8217;five&#8217;:5,&#8217;six&#8217;:6,&#8217;seven&#8217;:7,&#8217;eight&#8217;:8,&#8217;nine&#8217;:9,&#8217;ten&#8217;:10} df[&#8216;experience&#8217;]=df[&#8216;experience&#8217;].map(my_dict) df.experience=df.experience.fillna(2) df.TestScore=df.TestScore.fillna(df.TestScore.median()) #&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[8431,33127,33128,33135,33136,33148,33134],"class_list":["post-143481","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-program-on-salary-prediction","tag-salary-prediction","tag-salary-prediction-model-using-machine-learning","tag-salary-prediction-using-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Salary Prediction Model using Machine Learning - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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my_dict={&#039;zero&#039;:0,&#039;one&#039;:1,&#039;two&#039;:2,&#039;three&#039;:3,&#039;four&#039;:4,&#039;five&#039;:5,&#039;six&#039;:6,&#039;seven&#039;:7,&#039;eight&#039;:8,&#039;nine&#039;:9,&#039;ten&#039;:10} df[&#039;experience&#039;]=df[&#039;experience&#039;].map(my_dict) df.experience=df.experience.fillna(2) df.TestScore=df.TestScore.fillna(df.TestScore.median()) #&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/salary-prediction-model-using-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-25T06:39:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T09:39:35+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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linear_model df=pd.read_excel(\"D:\/\/scikit_data\/newemp\/employee.xlsx\") df=df.rename(columns={'test_score(out of 10)':'TestScore'}) df=df.rename(columns={'interview_score(out of 10)':'InteviewScore'}) df=df.rename(columns={'salary($)':'Salary'}) my_dict={'zero':0,'one':1,'two':2,'three':3,'four':4,'five':5,'six':6,'seven':7,'eight':8,'nine':9,'ten':10} df['experience']=df['experience'].map(my_dict) df.experience=df.experience.fillna(2) df.TestScore=df.TestScore.fillna(df.TestScore.median()) #&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/salary-prediction-model-using-machine-learning\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-09-25T06:39:56+00:00","article_modified_time":"2025-06-24T09:39:35+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading 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